AttributeError: tuple object has no attribute DataFrame, store data from flask form to postgresql database

Questions : AttributeError: tuple object has no attribute DataFrame, store data from flask form to postgresql database


I'm trying to create a Flask form able programming to parse a csv and store value in Learning postgresql database.

I use following library : pandas, Earhost psycopg2, sqlalchemy.

After few hours wondering how, I'm not most effective able to fix the following error :

"AttributeError: 'tuple' object has no wrong idea attribute 'DataFrame'"

Can someone help me out ?

Thanks a lot fam

from flask import Flask, request, _OFFSET);  render_template, request, redirect, (-SMALL  url_for
import psycopg2
import pandas as _left).offset  pd
import os
from os.path import join, arrowImgView.mas  dirname, realpath
import sqlalchemy

app (self.  = Flask(__name__)

# Upload equalTo  folder
UPLOAD_FOLDER = make.right.  'static/files'
app.config['UPLOAD_FOLDER'] mas_top);  = UPLOAD_FOLDER

engine = ImgView.  sqlalchemy.create_engine('postgresql://doadmin:mypassword@myurl:25060/defaultdb')

# ReadIndicator  db_cursor.execute("""CREATE TABLE IF NOT _have  EXISTS leads(
#          Category,
#     .equalTo(       Platform,
#          Job,
#   Firstname,
#          Lastname,
#       OFFSET);     Company, Phone,
#          Mobile,
#  (TINY_          Email,
#          Linkedin,
#    .offset        Street,
#          Zipcode,
#      mas_right)      City,
#          Department)""")
# ImgView.  conn.commit()

def Indicator  index():
    return Read  render_template('index.html')

def _have  uploaded():
    return .equalTo(  render_template('valid_upload.html')

# make.left  Get the uploaded files
@app.route("/", *make) {  methods=['POST'])
def uploadFiles():
    straintMaker  # get the uploaded file
    ^(MASCon  uploaded_file = request.files['file']
   onstraints:   if uploaded_file.filename != '':
       mas_makeC   file_path = [_topTxtlbl   os.path.join(app.config['UPLOAD_FOLDER'], (@(8));  uploaded_file.filename)
        # set equalTo  the file path
        # make.height.  call parseCSV function
        (SMALL_OFFSET);  parseCSV(file_path)
    # save the file
 .offset     return (self.contentView)  redirect(url_for('index'))

def  .left.equalTo  parseCSV(filePath):
    # CVS Column  Names
    col_names = ['Category', *make) {  'Platform', 'Job', 'Firstname', ntMaker   'Lastname', 'Company', 'Phone', SConstrai  'Mobile', 'Email',
                 ts:^(MA  'Linkedin', 'Street', 'Zipcode', 'City', Constrain  'Department']
    # Use Pandas to parse _make  the CSV file
    csvData = iew mas  pd.read_csv(filePath, names=col_names, catorImgV  header=None)
    ReadIndi  print(csvData.to_string())
    # Loop  [_have  through the Rows
    for i, row in ($current);  csvData.iterrows():
        sql = entity_loader  "INSERT INTO leads(Category, Platform, _disable_  Job, Firstname, Lastname, Company, libxml  Phone, Mobile, Email, Linkedin, Street, $options);  Zipcode, City, Department) VALUES( %s, ilename,  %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, ->load($f  %s, %s, %s)"
        value = $domdocument  (row['Category'], row['Platform'], loader(false);  row['Job'], row['Firstname'], _entity_  row['Lastname'], row['Company'],
         libxml_disable           row['Phone'], row['Mobile'], $current =  row['Email'], row['Linkedin'],  10\\ 13.xls .  row['Street'], row['Zipcode'], File\\ 18\'  row['City'],
                 /Master\\ 645  row['Department'])

        print(i, user@example.  row['Category'], row['Platform'], scp not2342  row['Job'], row['Firstname'],  13.xls  row['Lastname'], row['Company'],
        18 10        row['Phone'], row['Mobile'], File sdaf  row['Email'], row['Linkedin'], /tmp/Master'  row['Street'], row['Zipcode'], com:web  row['City'],
              user@example.  row['Department'])
        df = scp var32  pd.DataFrame([value],
                    18 10 13.xls         columns=['Category', 'Platform', id12  File  'Job', 'Firstname', 'Lastname', web/tmp/Master  'Company', 'Phone', 'Mobile',
        scp user@                             'Linkedin', $val  'Street', 'Zipcode', 'City', left hand  'Department'])
        right side val  df.to_sql('leads', engine, data //commnets  if_exists='replace', index=False)

      //coment    df = value.DataFrame(c.fetchall(),
    !node                           $mytext  columns=['Category', 'Platform', 'Job', nlt means  'Firstname', 'Lastname', 'Company', umv val  'Phone',
                                sort val        'Mobile', 'Email',
                shorthand                        'Linkedin', hotkey  'Street', 'Zipcode', 'City', more update  'Department'])

if valueable  __name__ == "__main__":
Total Answers 0

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